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Performance evaluation of GSA, SOS, ABC and ANN algorithms on linear and quadratic modelling of eggplant drying kinetic Ciênc. Tecnol. Aliment.
ÖZDEN,Semih; KILIÇ,Faruk.
Abstract In this study, kinetics of eggplant drying was modeled in the laboratory-scaled Food Drying Oven (FDO) with resistance heater was designed and manufactured. The temperature, energy consumption and drying time of FDO were recorded by keeping the temperature of at different temperatures as 40, 50 and 60 °C. These saved values were chosen as the input parameters of the model. The weight value of the eggplant was taken as the output parameter. Linear and quadratic equations were developed for modeling and constant coefficients of these equations were estimated with Artificial Bee Colony (ABC), Gravitational Search Algorithm (GSA), symbiotic organisms search (SOS) algorithms. In addition, the performances of these models were compared with the model...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Food drying; Eggplant drying; Optimization; Modeling.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612019005031113
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